遗传算法优化BP神经网络预测

代码说明：

说明：  用遗传算法为 BP 神经网络优化权值，使网络具有快速学习网络权重的能力，并且能够摆脱局部极小点的困扰。遗传算法的全局搜索能力来弥补BP算法全局搜索能力不足，实例证明，这种预测模型比BP网络预测模型具有更高的精度。(Genetic algorithm is used to optimize the weights of BP neural network, so that the network has the ability to quickly learn the network weight, and can get rid of the trouble of local minimum points. The global search ability of genetic algorithm is used to make up for the deficiency of BP algorithm. The example shows that this prediction model has higher accuracy than BP network prediction model.)

文件列表：

Code.m, 689 , 2019-08-06
Cross.m, 1827 , 2019-08-06
fun.m, 1529 , 2019-08-06
Genetic.m, 5174 , 2020-07-04
Mutation.m, 1696 , 2019-08-06
Select.m, 1695 , 2019-08-06
test.m, 741 , 2019-08-06
train.mat, 769 , 2020-06-30
工作簿1.xlsx, 11838 , 2020-07-04